52 results about "Radar equation" patented technology

The embodiment of the invention provides a simulated target reflectivity factor quantitative generation method for weather radar far-field region calibration, and is applied to the technical field of weather radar calibration. The method comprises the following steps: acquiring radar antenna and emission parameters, a distance between a target simulator erection point and a radar, a simulation target distance, and a transmit-receive radiance ratio of a target simulator; according to a pre-constructed simulation target equivalent sectional area quantitative model, based on the radar antenna and emission parameters, the distance between the target simulator erection point and the radar, the transmit-receive radiance ratio of the target simulator and the simulation target distance, calculating to obtain a simulation target equivalent sectional area; and calculating to obtain a radar reflectivity factor expected value according to the equivalent sectional area of the simulation target, the radar antenna and emission parameters and a weather radar equation. In this way, a simulated target reflectivity factor for weather radar far-field region calibration can be quantitatively generated.

The invention discloses an active and passive combined observation carbon dioxide column concentration inversion method, and relates to the technical field of meteorological detection.The method comprises the steps that an active laser radar observation data set is obtained through arrangement according to month information and longitude and latitude information, and differential optical thickness is obtained through calculation based on a radar equation according to priori active laser radar observation data; according to the line-by-line integration principle, a carbon dioxide absorption cross section lookup table is constructed, priori profile data and differential optical thickness are combined, a correction coefficient matrix of a priori profile and corrected priori profile data are obtained through calculation, and according to the optimization algorithm principle, the corrected priori profile data serve as constraint, and the carbon dioxide absorption cross section is obtained. And the concentration of the carbon dioxide column is calculated based on the passive observation data, so that the inversion method provided by the invention not only comprises active laser radar observation, but also comprises the passive observation data, the active observation and the passive observation are effectively combined, more accurate prior profile information is provided, and the inversion precision is improved.

The invention relates to a radar identification warning method applied to an electric power line protection area, and relates to the technical field of electric power monitoring. According to the method, radar working parameters are configured by using an environment-corrected radar equation and a genetic algorithm considering a radar coverage range, radar detection accuracy and radar energy consumption; the radar detects a target in a power line protection area to obtain radar point cloud data; in the process, multi-frequency fusion ranging is used for measuring the distance of a target, and the Doppler effect is used for resolving the speed of the target; detecting and repairing abnormal values of the radar point cloud data based on an isolated forest algorithm; inputting the preprocessed radar point cloud data into a pre-trained integrated learning classifier for target identification, and obtaining target category information, speed, distance, environment data and facility operation data as risk assessment data; the risk assessment model assesses a target risk according to the risk assessment data to obtain a target risk value and a risk level probability; and performing graded warning according to the target risk value and the risk grade probability.

The invention relates to a fixed-wing unmanned aerial vehicle track anomaly detection method and device and a medium, and the method comprises the steps: building a radar detection noise model based on a radar equation and a signal-to-noise ratio formula; on the basis of the motion equation, simulating the motion process in normal and abnormal states to generate a real track, and adding noise to the real track by using a radar detection noise model to obtain noise-containing simulation track data; constructing a dynamic graph based on the simulated track data; inputting the dynamic graph into a space-time diagram neural network model; the time-space diagram neural network model comprises a diagram attention network layer, a long-short term memory network layer and a linear layer which are connected in sequence; and performing feature extraction and classification on the dynamic graph through a time-space diagram neural network model, and outputting a track anomaly detection result. Therefore, precise detection of tiny track abnormalities of the fixed-wing unmanned aerial vehicle, especially gliding faults and the like, is realized.

The invention discloses an underlying surface information fusion accumulated snow depth inversion method and system based on an SAR image, and relates to the technical field of ice and snow monitoring based on a satellite remote sensing technology, and the method comprises the steps: collecting orbit data, carrying out the preprocessing of the collected orbit data, removing thermal noise and speckle noise, and carrying out the terrain correction. Performing radiation calibration according to a radar equation to obtain a back scattering characteristic parameter and a polarization characteristic parameter, performing characteristic extraction on the corrected data, optimizing a characteristic data set, constructing a neural network model, inputting the optimized characteristic data set into a residual neural network, training to obtain an accumulated snow depth inversion model, and introducing a time variable to obtain an accumulated snow depth inversion model; and predicting the snow depth. According to the method, the advanced SAR data processing technology and the machine learning method are fused, the snow depth inversion and prediction problems are effectively solved, and an important basis is provided for decision support.

The invention discloses a visibility inversion method and device of a laser radar, equipment and a storage medium, and relates to the technical field of laser, and the method comprises the steps: determining a detection range boundary based on a laser radar voltage value and a preset threshold value; synchronously measuring the visibility in a segmented manner by using a ground single-point measurement visibility meter and a laser radar visibility meter, and performing inversion to obtain a function value; constructing a joint relation model by combining a laser radar equation according to the average error of the function value and the radar measurement signal, and generating a parameter mapping relation lookup table; acquiring signal intensity by means of a near-field visibility measuring device, and determining a target laser radar ratio and an extinction coefficient through the look-up table; and finally, resolving an extinction coefficient profile and inverting a visibility profile by adopting a Fernald inversion algorithm in combination with the laser echo signal path, the target extinction coefficient and the laser radar ratio. The efficiency of laser radar visibility inversion is improved.

The cloud layer inversion method of the laser ceilometer comprises the following steps: acquiring original measurement data of the laser ceilometer; dividing the original measurement data into low-altitude data and high-altitude data according to a preset segmentation threshold value; optimizing the low-altitude data according to a Mie-Rayleigh scattering laser radar equation to obtain low-altitude optimized data; comparing the low-altitude optimization data with a preset low-altitude threshold value, and determining the height of a low-altitude cloud layer according to a comparison result; segmenting the high-altitude data to obtain a plurality of data segments, and performing data validity screening on each data segment to extract a high-altitude valid data segment; calculating an effective median value and a data fluctuation quantity of each effective data segment; calculating a dynamic threshold according to all data fluctuation quantities; optimizing the high-altitude data to obtain high-altitude optimized data; and comparing the high-altitude optimization data with a dynamic threshold value, and determining the height of the high-altitude cloud layer according to a comparison result. According to the invention, the accuracy of the inversion result can be effectively improved.

The invention provides a performance evaluation method of a remote space reflection communication system, the reflection communication system comprises a transmitting end, a receiving end and a reflector, the transmitting end is used for transmitting a transmitting signal, the reflector is used for reflecting the transmitting signal to obtain a reflection signal, and the receiving end is used for receiving the reflection signal. The method comprises the following steps: acquiring equipment parameters of a reflection communication system and position information of a transmitting end, a receiving end and a reflector; calculating a reflection communication basic link budget of the reflection communication system according to the double-station radar equation; calculating a beam pattern based on the equipment parameters, and calculating a correction coefficient based on the beam pattern and the position information; and correcting the reflection communication basic link budget by using the correction coefficient to obtain a reflection communication link budget correction value, thereby realizing link performance evaluation.

The invention discloses a high-speed denoising method and device suitable for an airborne area array Geiger avalanche diode radar, and the method comprises the steps: enabling a radar image collection control module to achieve the data collection of the area array Geiger avalanche diode radar, and carrying out the segmentation of effective pixels and noise pixels of a collected 64 * 64 image; self-adaptive denoising is added by analyzing a radar equation and equipment parameters; automatically setting a signal threshold according to avalanche diode data distribution in a single frame; the signal proportion is increased by using matched filtering; signals are extracted and noise is removed by using a time and space correlation method. According to the invention, real-time de-noising processing is carried out on acquired radar data by combining the inherent characteristics of the area array Geiger avalanche diode radar, data distribution in a single frame, a time-space correlation method and a matched filtering algorithm, so that the problem of data submerging of the Geiger avalanche diode radar under an extremely low synthesis frame number is solved; the background noise interference in the image can be effectively reduced, and the pixel signal centroid can be quickly obtained.

The invention discloses a laser radar hardware parameter design method based on a laser radar equation simulation model, and belongs to the technical field of laser radar remote sensing detection. Based on a laser radar equation simulation model, laser radar parameters such as different laser wavelengths, energy, pulse widths, divergence angles, field angles, repetition frequencies, telescope calibers and laser inclination angles of visible light bands and chlorophyll concentrations, absorption coefficients, scattering coefficients, scattering phase functions and wind speeds of water bodies can be analyzed; the influence of water body biological optical parameters such as zenith angle and environmental parameters on a multi-platform laser radar receiving signal; and finally, by changing different parameters, the laser radar receiving signal strength is analyzed, and the system parameter design is optimized. The method is high in operation speed and high in calculation efficiency, and input parameters can be conveniently adjusted according to a laser radar system and the environment; the method can be used for simulating signals of shipborne, airborne, satellite-borne and other multi-platform ocean laser radars.

The invention relates to a direct assimilation method and system for an aerosol attenuation backscattering coefficient, and relates to the technical field of data assimilation of atmospheric aerosol. The method comprises the following steps: based on a laser radar equation, constructing a nonlinear observation operator of a direct assimilation aerosol attenuation backscattering coefficient by adopting a Mie scattering theory; according to a three-dimensional variational assimilation theory and a nonlinear observation operator, constructing an assimilation model for solving an aerosol attenuation backscattering coefficient of an objective function minimum solution; acquiring assimilated laser radar aerosol observation data for preprocessing, and inputting the preprocessed observation data into an assimilation model; and operating the assimilation model, taking the minimum solution obtained by solving as an aerosol increment field, and superposing the aerosol increment field to a background field to obtain an analysis field of the aerosol. According to the method, direct assimilation of the first-level observation data of the laser radar aerosol is realized, more accurate aerosol initial distribution is provided for the mode after assimilation, and a more accurate aerosol analysis and prediction result can be obtained.

The present invention belongs to the general technical field of radar, and relates to an RCS measurement method based on amplitude smoothing and beam gain correction. Based on the radar equation, the present invention proposes an RCS measurement formula that is easy to implement in engineering, and the bandwidth, pulse width, pulse formation and working frequency parameters are involved in the calculation, and the beam factor is corrected according to the target elevation angle to remove the influence of antenna beam gain at different elevation angles. After screening out the track sequence that does not contain zero amplitude value, starting from the third circle, five amplitude values ​​of each track time and the two circles before and after it are taken out in sequence, and a five-point cubic smoothing filter is used to obtain a smoothed amplitude value. The corrected amplitude value is used to complete the signal-to-noise ratio estimation and RCS calculation. The present invention can effectively measure the RCS value of common targets on the basis of the existing hardware platform, solves the influence of antenna beam shape and track amplitude jump, and is easy to implement in engineering.

A coherent wind lidar echo signal spectrum simulation data generation method is provided, comprising: obtaining the bottom noise of the echo signal; removing the bottom noise from the echo signal spectrum data and counting the variance of the random noise; performing normalization processing on the random noise and performing Gaussian fitting to obtain the amplitude, Doppler shift and bandwidth of the echo signal; recording the Doppler shift difference between adjacent range gates to obtain the power spectrum peak energy of a single spectrum data and the correction amount of the distance; respectively counting the statistical parameters of the random variable, the power spectrum peak energy, the correction amount of the distance and the bandwidth; generating a group of wind speed profile graphs by using random walk and normal distribution characteristics of random variables, generating bandwidths under different range gates that satisfy the Lorentz distribution, power spectrum peak energies of a single simulated spectrum that satisfy the chi-square distribution, and distance correction amounts that satisfy the normal distribution; and generating a single simulated spectrum by a radar equation and repeatedly generating complete spectrum simulation data.

The present invention proposes a performance evaluation method for a long-distance space reflection communication system. The reflection communication system includes a transmitter, a receiver, and a reflector. The transmitter is configured to emit a transmission signal, the reflector is configured to reflect the transmission signal to obtain a reflection signal, and the receiver is configured to receive the reflection signal. The method comprises obtaining device parameters of the reflection communication system and position information of the transmitter, receiver, and reflector; calculating a basic reflection communication link budget for the reflection communication system based on a bistatic radar equation; calculating a beam pattern based on the device parameters, and calculating a correction coefficient based on the beam pattern and position information; and using the correction coefficient to correct the basic reflection communication link budget to obtain a corrected reflection communication link budget value, thereby achieving link performance evaluation.

The invention discloses a mirror scattering region clutter signal simulation method and device under a space-based double-station detection system. The method comprises the following steps: determining a clutter scattering region according to a beam irradiation relation based on a detection geometric model; determining a mirror scattering area in the clutter scattering area, and determining the area except the mirror scattering area in the clutter scattering area as a non-mirror scattering area; respectively calculating the area of the mirror scattering region and the area of the non-mirror scattering region; respectively calculating a scattering coefficient, clutter gain, total distance history of clutter and clutter amplitude; and constructing a radar equation according to the areas of the mirror scattering region and the non-mirror scattering region, the scattering coefficient, the clutter gain, the total distance history of the clutter and the clutter amplitude, and constructing a clutter signal model according to the radar equation. According to the method provided by the invention, the projection area of the first Fresnel region on the ground is used as the area of the mirror scattering region, so that the clutter energy distribution of the mirror scattering region is more accurate, the modeling of the clutter signal is more accurate, and the simulation precision of the clutter signal is improved.

The invention relates to the technical field of radar signal processing and radar imaging, in particular to a millimeter wave MIMO-SAR imaging method based on beam forming optimization, and the method comprises the steps: configuring an MIMO radar array; according to the radar equation and the point target model, simulating an actual echo data matrix of a preset focus in the imaging area; constructing a beam forming optimization model according to the MIMO radar array; solving the beam forming optimization model through an optimization algorithm to obtain an optimal weight vector; weighting and summing the optimal weight vector and the actual echo data matrix to obtain a composite signal; and performing imaging processing on the synthetic signal to generate an SAR image. According to the method, the imaging quality and the target resolution capability in a low signal-to-noise ratio environment are improved by constructing the beam forming optimization model and solving the optimal weight vector; meanwhile, the signal focusing effect is enhanced by optimizing weighted synthesis, and the resource utilization efficiency of the system in a key area is remarkably improved while high-resolution radar imaging is achieved.

The application discloses a multi-radar power envelope fusion method, comprising: single-radar envelope modeling, constructing envelope fusion foundation; determining non-coherent field fusion, constructing multi-radar envelope model; constructing gradient diffusion model, realizing envelope fusion smooth transition; displaying Euler method iteration convergence, realizing multi-radar envelope complete fusion; adopting adaptive octree structure to dynamically divide three-dimensional space. Advantageous effects: the multi-radar power envelope fusion method firstly calculates single-station detection probability of each radar unit at a grid point in a three-dimensional space voxel according to a radar equation, a propagation loss model and target scattering characteristics; then adopts a probability union or a more complex dependent relationship model to generate a full-space joint detection probability field; finally, an isosurface extraction (such as an improved Marching Cubes algorithm) and a probability gradient driven color / transparency mapping are adopted to generate a visual continuous, mathematically accurate fusion envelope surface.

The application discloses a snow depth inversion method and system based on underlying surface information fusion of a SAR image, relates to the technical field of ice and snow monitoring based on satellite remote sensing technology, and comprises the following steps: collecting orbit data, pre-processing the collected orbit data, removing thermal noise and speckle noise, performing terrain correction, and obtaining a backscattering characteristic parameter and a polarization characteristic parameter according to a radar equation for radiation calibration, performing feature extraction on the corrected data, optimizing a feature data set, constructing a neural network model, inputting the optimized feature data set into a residual neural network, training to obtain a snow depth inversion model, and introducing a time variable to predict the snow depth. The application effectively solves the problems of snow depth inversion and prediction by fusing advanced SAR data processing technology and a machine learning method, and provides an important basis for decision support.

The embodiments of the present disclosure provide a method for quantitatively generating a simulated target reflectivity factor for calibration of a weather radar in the far field, which is applied to the field of weather radar calibration technology. The method includes obtaining radar antenna and emission parameters, the distance between the target simulator installation point and the radar, the simulated target distance, and the transmit-receive ratio of the target simulator; according to a pre-constructed simulated target equivalent cross-sectional area quantitative model, based on the radar antenna and emission parameters, the distance between the target simulator installation point and the radar, the transmit-receive ratio of the target simulator and the simulated target distance, the simulated target equivalent cross-sectional area is calculated; according to the simulated target equivalent cross-sectional area, the radar antenna and emission parameters, and the weather radar equation, the expected value of the radar reflectivity factor is calculated. In this way, the simulated target reflectivity factor for calibration of the weather radar in the far field can be quantitatively generated.

The invention belongs to the technical field of false alarm suppression, and particularly relates to a backward lobe clutter false alarm suppression method for an airborne PD radar, and the method comprises the steps: carrying out the RCS modeling based on the preprocessed single-point measurement data through a radar equation and system parameters; rCS filtering is carried out on the preprocessed single-point measurement data through RCS modeling; the method comprises the following steps: establishing a track for single-point measurement meeting an RCS threshold, scheduling the track to obtain scheduling frame measurement, setting a sliding window to smooth the scheduling frame measurement to obtain a track RCS, judging a filtering threshold of the track RCS, deleting the track which does not meet the filtering threshold, and obtaining a track of a real target. Compared with a method of adding a wave-absorbing material, the method does not add additional hardware, does not increase the weight of a product, and does not have additional cost; and the element dimension of the target calculation information is increased, and the reliability of measuring a single point is improved. The flight path level situation and the RCS physical characteristics are jointly judged, the reliability of real flight path association is improved, and the duration of a false alarm flight path is restrained.

This invention discloses a method for simulating and modeling chaff cloud echoes, comprising: calculating the full-space single-base scattering characteristics of individual chaff strips of different lengths using the Pocklington integral equation; generating the scattering characteristics of each chaff strip using Lagrange interpolation based on a randomly generated or existing chaff cloud model; obtaining the echo of each chaff strip according to the relative position between the detector and the chaff strip, combined with radar equations, and vector-superimposing the echo contributions of all chaff strips to form the overall echo of the chaff cloud; and calculating the echo characteristic curve of each sampling point on the detector's motion trajectory one by one according to the above steps. This invention considers the scattering of chaff strips from the perspective of the scattering center, enabling efficient simulation of chaff cloud echo characteristics, and meeting current engineering requirements in terms of both accuracy and speed.

The invention provides a vehicle-mounted radar antenna linear array pitching plane FOV widening method and related equipment thereof, and the method comprises the steps: carrying out the synthesis of amplitude and phase weights through employing a Fourier transform method, and calculating a first amplitude and phase weight of a pitching plane directional diagram width FOV; adjusting the second amplitude-phase weight of the output port of the power divider combination to be consistent with the first amplitude-phase weight obtained by the Fourier transform method so as to form the pitching beam wave of the antenna linear array; simulating each transmitting antenna and each receiving antenna, extracting gain directional diagrams generated by simulation of each transmitting antenna and each receiving antenna, and calculating a receiving-transmitting synthetic gain directional diagram of the radar; the power diagram of the whole radar can be calculated by utilizing the receiving and transmitting synthetic gain directional diagram and combining a radar equation, and whether the FOV of the pitching surface of the radar meets the requirement or not is judged. Based on an antenna shaping principle, amplitude-phase weight synthesis is carried out by adopting a Fourier transform method, and the FOV range of the pitching surface of the vehicle-mounted front radar is effectively expanded on the premise of ensuring high gain.

The invention belongs to the field of radar signal processing, and particularly relates to a radar echo signal simulation method in a complex scene, which can be used for radar signal processing software development and algorithm verification stages. The method comprises the following steps: 1, calculating noise amplitude according to receiver parameters, and generating a noise signal; and step 2, generating a linear frequency modulation echo signal of a target at a certain radial distance according to the current working time sequence of the radar. And step 3, according to the statistical model characteristics of the ground clutter, generating a clutter signal. And 4, according to the angle currently scanned by the radar and the pitching angles of the target and the clutter, calculating the radar receiving signal power of the target echo and the clutter at the current moment through a radar equation. And 5, superposing the generated noise, the target echo and the clutter, and simulating to form a radar echo signal of a complex scene. According to the method, radar echo signals in a complex scene are simulated and generated from an actual radar echo form, a mathematical model of the signals and a physical model of a radar working state.

The invention discloses a multi-radar power envelope fusion method, which comprises the steps of performing single-radar envelope modeling, and constructing an envelope fusion foundation; incoherent field fusion is determined, and a multi-radar envelope model is constructed; constructing a gradient diffusion model to realize envelope fusion smooth transition; euler method iterative convergence is displayed, and multi-radar envelope complete fusion is realized; and dynamically dividing a three-dimensional space by adopting a self-adaptive octree structure. The multi-radar power envelope fusion method has the beneficial effects that firstly, according to a radar equation, a propagation loss model and target scattering characteristics, the single-station detection probability of each radar unit at a grid point is calculated in a three-dimensional space voxelization mode; a probability union set or a more complex dependency relationship model is adopted, and a total-space joint detection probability field is generated through fusion; finally, through contour surface extraction (such as an improved March i ng Cubes algorithm) and color / transparency mapping driven by probability gradient, a fusion envelope curved surface with continuous vision and accurate mathematics is generated.

The present invention provides a method for optimizing the configuration of a collaborative detection formation with a networked airborne radar and a split transmitter-receiver configuration, relating to the technical field of multi-aircraft collaborative detection. The method first initializes the combat environment between the enemy and friendly forces and sets evaluation indicators for friendly forces' detection effectiveness. A radar equation for a system with split transmitters and receivers is then established to calculate the detection power of friendly forces' radars against enemy aircraft. A mathematical model is then established to evaluate the optimization effect of the split transmitter-receiver collaborative detection formation configuration. Finally, an improved artificial fish school algorithm is proposed to search for the optimal configuration of the split transmitter-receiver collaborative detection formation. The proposed method for optimizing the configuration of a networked airborne radar and a split transmitter-receiver collaborative detection formation not only improves the survivability of the transmitter but also satisfies the receiver's need for covert target detection.

The present invention belongs to the technical field of weather radars, and discloses a combined pulse ring elimination method, system, device, storage medium and terminal of a fully solid-state weather radar. The present invention provides the fundamental cause of the combined pulse ring from the perspective of radar equations, and provides a solution from the perspective of radar equations for the currently common technical defects. The combined pulse detection capability difference is obtained by analyzing and calculating the combined pulse detection capability of the solid-state radar, and the difference value is automatically compensated when the back-end radar spectrum parameter is calculated, thereby achieving the purpose of eliminating the combined pulse ring. The present invention fundamentally solves the problem of the combined pulse ring. After using this method, the user no longer needs to manually correct the correction values ​​of the long, medium and short pulses in the configuration file frequently, solves the observation application problem of the fully solid-state radar system, improves the quality of solid-state radar data, more truly reflects the actual weather process, and reduces the maintenance effort and cost of personnel.

The invention belongs to the technical field of weather radars, and discloses a combined pulse ring elimination method, system and equipment of an all-solid-state weather radar, a storage medium and a terminal, the root cause of the generation of a combined pulse ring is given from the angle of a radar equation, and a solution is given from the angle of the radar equation for the current ubiquitous technical defects. The combined pulse detection capability difference is obtained by analyzing and calculating the combined pulse detection capability of the solid-state radar, and the difference value is automatically compensated when the back-end radar spectrum parameter is calculated, so that the purpose of eliminating the combined pulse ring is achieved. The problem of the combined pulse ring is fundamentally solved, after the method is used, a user does not need to manually correct correction values of long, medium and short pulses in a configuration file frequently, the observation application problem of an all-solid-state radar system is solved, the data quality of the solid-state radar is improved, the actual weather process is reflected more truly, and the application prospect is wide. And the personnel maintenance energy and cost are reduced.

The application discloses a kind of antenna directional pattern measurement methods based on segmented gain variable threshold single-bit receiver, it is related to synthetic aperture radar radiometric calibration technical field.The method steps are as follows: the monotonic relationship of quantitative signal power and STR is analyzed, and quantitative model is established;The receiving signal amplitude reconstruction strategy of all sampling rate and SAR bandwidth ratio is constructed;The maximum amplitude and minimum amplitude of received signal are determined, the received signal amplitude is segmented and threshold is set;Signal spectrum is analyzed and quantitative signal power is estimated;STR and actual received signal power are calculated;Azimuth and range antenna directional pattern sample value are calculated, and according to radar equation, radar antenna azimuth and pitch gain is calculated, and antenna directional pattern is reconstructed using polynomial fitting.The application simplifies the structure of radar directional pattern gain measurement receiver, reduces the cost, guarantees the measurement accuracy, and can meet the demand of large-scale deployment and high-precision estimation of SAR radiometric calibration active receiver.

The invention relates to the technical field of wireless communication, in particular to an FPGA-based Rice channel simulation method, system and chip, and the method comprises the steps: generating a time slice according to the maximum Doppler frequency shift; initializing Doppler frequency shift parameters of each scattering path; in each time slice, generating a direct path complex envelope and synchronously generating a plurality of scattering path complex envelopes according to the current parameters; updating Doppler frequency shift parameters of the scattering path at the end of each time slice; calculating an amplitude coefficient based on a Rice factor and the simulated propagation delay of each scattering path, and carrying out amplitude modulation; and synthesizing and outputting all path complex envelopes. According to the method, the real-time calculation burden of the FPGA is reduced through a time slicing mechanism, and power distribution is performed based on a radar equation, so that a simulation result better conforms to real channel characteristics.